Accuracy and understandability can be co-optimised for feature selection in tabular-data explanations while maintaining high classification performance.
AI and Ethics4(3), 691–698 (2024)
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Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection
Accuracy and understandability can be co-optimised for feature selection in tabular-data explanations while maintaining high classification performance.